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The connections between the frustrated chaos and the intermittency chaos in small Hopfield networksBERSINI, Hugues; SENER, Pierre.Neural networks. 2002, Vol 15, Num 10, pp 1197-1204, issn 0893-6080, 8 p.Article

A recurrent neural network for solving nolinear projection equationsYOUSHEN XIA; JUN WANG.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol6.492-497, isbn 0-7695-0619-4, 6VolConference Paper

A modified Hopfield model for solving the N-Queens problemDA SILVA, Ivan N; DE SOUZA, Andre N; BORDON, Mario E et al.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol6.509-514, isbn 0-7695-0619-4, 6VolConference Paper

About the ergodic regime in the analogical Hopfield neural networks : Moments of the partition functionBARRA, Adriano; GUERRA, Francesco.Journal of mathematical physics. 2008, Vol 49, Num 12, issn 0022-2488, 125217.1-125217.18Article

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Efficient Hopfield pattern recognition on a scale-free neural networkSTAUFFER, D; AHARONY, A; DA FONTOURA COSTA, L et al.The European physical journal. B, Condensed matter physics. 2003, Vol 32, Num 3, pp 395-399, issn 1434-6028, 5 p.Article

Neural-Network Model for Determining the Equilibrium Compositions of Multicomponent SystemsKOMARTSOVA, L. G; STRELCHENKO, S. S; LAVRENKOV, Y. N et al.Optical memory & neural networks. 2010, Vol 19, Num 2, pp 149-153, issn 1060-992X, 5 p.Article

Extended hopfield network for sequence learning : Application to gesture recognitionMAURER, André; HERSCH, Micha; BILLARD, Aude G et al.Lecture notes in computer science. 2005, pp 493-498, issn 0302-9743, isbn 3-540-28752-3, 6 p.Conference Paper

Effectiveness of neural networks of hopfield algorithms in image recognitionLARIN, A. M; MAZILOV, S. L; OGREB, S. M et al.Radio and communications technology. 1999, Vol 4, Num 8, pp 62-66, issn 1087-7126Article

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Theoretical considerations on the dynamics of hysteresis binary Hopfield networks for combinatorial optimizationMATSUDA, Satoshi.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol6.480-485, isbn 0-7695-0619-4, 6VolConference Paper

Vector-product Hopfield modelCHANGHE ZHOU; LIREN LIU.Optics communications. 1999, Vol 168, Num 5-6, pp 445-455, issn 0030-4018Article

Forms of adapting patterns to hopfield neural networks with larger number of nodes and higher storage capacityOLIVEIRA, Clayton Silva; DEL MORAL HERNANDEZ, Emilio.International Joint Conference on Neural Networks. 2004, isbn 0-7803-8359-1, 4Vol, Vol2, 937-942Conference Paper

Neural networks of the Hopfield typeLITINSKII, L. B.Lecture notes in computer science. 1999, pp 287-296, issn 0302-9743, isbn 3-540-66069-0Conference Paper

Parameter setting of the Hopfield network applied to TSPTALAVAN, Pedro M; YANEZ, Javier.Neural networks. 2002, Vol 15, Num 3, pp 363-373, issn 0893-6080Article

Real-time operational aspects of Hopfield neural network based dynamic channel allocation schemeLAZARO, O; GIRMA, D.Electronics Letters. 2004, Vol 40, Num 18, pp 1141-1143, issn 0013-5194, 3 p.Article

Learning based on fault injection and weight restriction for fault-tolerant hopfield neural networksKAMIURA, Naotake; ISOKAWA, Teijiro; MATSUI, Nobuyuki et al.IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems. 2004, pp 339-346, isbn 0-7695-2241-6, 1Vol, 8 p.Conference Paper

Some afterthoughts on Hopfield networksSIMA, J; ORPONEN, P; ANTTI-POIKA, T et al.Lecture notes in computer science. 1999, pp 459-469, issn 0302-9743, isbn 3-540-66694-XConference Paper

Catastrophic forgetting and the pseudorehearsal solution in Hopfield-type networksROBINS, A; MCCALLUM, S.Connection science (Print). 1998, Vol 10, Num 2, pp 121-135, issn 0954-0091Article

Distinguishing Features of a Small Hopfield Model with Clipping of SynapsesKRYZHANOVSKY, B. V; KRYZHANOVSKY, V. M.Optical memory & neural networks. 2008, Vol 17, Num 3, pp 193-200, issn 1060-992X, 8 p.Article

Applications of neural networksSMITH, Kate A.Computers & operations research. 2005, Vol 32, Num 10, issn 0305-0548, 237 p.Serial Issue

Estimation des paramètres d'un modèle d'activité neuronale et applications de la théorie du champ moyen = Parameter Estimation of a Neural Activity Model and Mean-Field Theory ApplicationsOuld Mohamed Abdallahi, Mohamed Lemine; François, Olivier.2001, 100 p.Thesis

Neural network approach to design of distributed hard real-time systemsMARTYNA, J.Lecture notes in computer science. 1999, pp 118-131, issn 0302-9743, isbn 3-540-66050-XConference Paper

Can a niching method locate multiple attractors embedded in the Hopfield network?IMADA, A; ARAKI, K.Lecture notes in computer science. 1999, pp 325-332, issn 0302-9743, isbn 3-540-65907-2Conference Paper